By SkillCouncils News Desk
Source: Times of India | May 24, 2026

Artificial Intelligence is rapidly changing the global workplace, but fears that AI will lead to mass unemployment may be exaggerated, according to Goldman Sachs CEO David Solomon. His remarks come at a time when young professionals, entry-level workers and corporate employees are increasingly concerned about the impact of automation on career opportunities.

The rise of generative AI tools has already started altering traditional office functions. Tasks such as drafting emails, summarising meeting notes, preparing basic spreadsheets, processing routine data and handling repetitive documentation are increasingly being performed by automated systems. This shift has raised anxiety among early-career professionals, whose first jobs often involve such foundational tasks.

A 2025 global study on enterprise automation by McKinsey and Company indicated that around 51 percent of organisations believe generative software is reducing their need for entry-level roles. This has intensified debate on whether AI will replace workers or create a new category of technology-enabled employment.

David Solomon has argued that the fear of a complete collapse of jobs due to AI is overstated. According to Goldman Sachs’ internal economic analysis, automation could affect nearly 25 percent of current work hours over the next decade. However, Solomon views this as a major transformation of work rather than a direct threat to employment.

The key argument is that AI will not necessarily eliminate jobs wholesale. Instead, it will remove repetitive, low-value and time-consuming tasks, allowing employees to focus on complex problem-solving, strategic thinking and decision-making.

This could significantly change the role of junior professionals. Instead of spending years on basic administrative or analytical tasks, young employees may be expected to use AI tools, interpret results, check accuracy and contribute to higher-level business decisions earlier in their careers.

Supporters of AI-led workplace transformation argue that technological innovation has historically created new economic opportunities, even when it disrupted existing jobs. Solomon referred to the long-standing debate on automation and productivity, noting that past waves of technology have led to economic renewal rather than permanent mass unemployment.

The discussion also brings back economist John Maynard Keynes’ famous 1930 prediction that technological progress could reduce human work to only 15 hours a week by 2030. While that prediction has not materialised, the broader lesson remains relevant: technology often changes the nature of work rather than simply ending it.

AI may therefore create new types of roles focused on supervision, verification, data interpretation, digital governance, workflow design and human-AI collaboration.

While business leaders are optimistic, several economists and labour-market experts are more cautious. MIT professor and Nobel laureate Daron Acemoglu has argued that only a limited share of human work tasks may be profitably automated by AI in the near future.

The concern is that companies may use AI primarily as a cost-cutting tool rather than a productivity and innovation tool. If businesses focus only on reducing headcount, the economy could face weaker workforce participation, limited career pathways and greater inequality among workers.

Experts warn that the real risk is not AI itself, but poor implementation. Automation that replaces workers without creating new value-added roles can lead to a stagnant labour market. On the other hand, AI used to support workers can improve productivity, efficiency and quality of output.

The impact of AI is expected to vary widely across job categories. Transactional and repetitive roles are likely to face the highest risk. Jobs involving routine data entry, claims processing, basic customer support, tele-calling, documentation and repetitive administrative work may see significant changes.

However, sectors that depend on judgment, trust, relationship-building and specialised decision-making are more likely to see AI as an assistive tool. Areas such as corporate leadership, education administration, healthcare, consulting, research, legal analysis and strategic planning may benefit from AI-enabled workflows without fully replacing human professionals.

This means the labour market may not experience uniform job loss, but it will experience uneven job transformation.

For India and the global workforce, the message is clear: AI readiness will be one of the most important employment factors in the coming decade. Workers who understand how to use AI tools, validate automated outputs, manage digital workflows and combine technology with domain expertise will be better positioned in the future job market.

Training institutions, universities, skill development organisations and industry bodies will need to redesign programmes around AI literacy, digital productivity, data interpretation, problem-solving and ethical use of automation.

For young professionals, entry-level training must also change. Instead of preparing workers only for routine office tasks, education and skilling systems must prepare them for analytical, supervisory and technology-enabled roles.

Solomon has also stressed that workers cannot navigate this transition alone. The AI-driven shift will require coordinated action from governments, private companies, training providers and education institutions.

Public policy will play a key role in ensuring that automation does not deepen inequality. Governments may need to support large-scale reskilling initiatives, digital access, vocational training reforms and stronger industry-academia partnerships.

Similarly, companies will need to invest in internal learning systems, responsible AI adoption and workforce transition plans. The goal should not be only to automate work, but to create more productive and meaningful roles for employees.

The rise of AI represents one of the most important workforce transitions of this decade. It will not be enough for workers to simply fear automation or for companies to treat AI as a cost-saving shortcut. The real opportunity lies in building a future-ready workforce that can work with intelligent tools.

For India’s skill development ecosystem, this is a crucial moment. Training partners, sector skill councils, educational institutions and employers must collaborate to bring AI literacy and digital workplace readiness into mainstream training programmes.

AI may not remove all jobs, but it will definitely change job descriptions, skill requirements and career pathways. The countries and organisations that invest early in reskilling and upskilling will be better prepared for the future of work.

 

AI, Artificial Intelligence, Future of Work, Skill Development, Workforce Transformation, Reskilling, Upskilling, Digital Skills, Employment, Automation, Youth Skills, Vocational Training, GenAI, Industry 4.0, SkillCouncils.com